Biomedical Research

Overview: In view of the increasing morbidity and mortality rates of Intrahepatic Cholangiocarcinoma (ICC) and the high risk of lymph node metastasis, our study aimed to establish an effective prediction model of intrahepatic cholangiocarcinoma with lymph node metastases.

Methods: Clinical and pathological data of 81 patients with intrahepatic cholangiocarcinoma who received surgical resection from June 2006 to October 2016 in our hospital were collected. Univariate and multivariate logistic regression analyses were performed to analyse factors associated with lymph node metastasis. Receiver Operating Characteristic (ROC) curve was used to predict lymph node metastasis in patients with intrahepatic cholangiocarcinoma.

Results: Univariate analysis showed that Hepatitis B surface antigen (HBsAg), serum carbohydrate antigen 19-9 (CA-19-9), number of primary tumors, tumor diameter, ratio of long-to-short axis diameter and perineural invasion were correlated with lymph node metastasis. Multivariate analysis showed that only tumor diameter and CA-19-9 were correlated with lymph node metastasis. Compared with CT or CA-19-9 alone, CT combined with CA-19-9 achieve better outcomes than CT and CA-19-9 alone in predicting lymph node metastases in patients with intrahepatic cholangiocarcinoma.

Conclusion: CT and CA-19-9 should be combined in lymph node metastases to achieve better outcomes.

Author(s): Jing Li, Yuanlin Yu, Huihong Sun, Lulong Zhu, Yuping Li, Qing He
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